Java FullStack Developer

Project Description:

As an Integration Engineer, you'll drive the design and delivery of integration components that connect Loan IQ with upstream and downstream systems.

You'll lead technical implementation within your pod, mentor mid-level developers, and leverage modern AI-assisted development tools and cloud-native patterns to enhance productivity, code quality, scalability, and delivery speed.

Responsibilities:

• Lead design and development of REST APIs and messaging interfaces

• Build reusable UI components & frontend frameworks aligned with enterprise standards

• Oversee code quality, conduct peer reviews, and enforce integration best practices

• Collaborate with QA and BA/Product Owner on end-to-end solutions

• Contribute to CI/CD setup and release processes

• Troubleshoot issues and improve performance across interfaces

• Design & implement cloud-native integrations using Azure services & serverless patterns

• Leverage AI-assisted development tools to accelerate code, test, & debug workflows

• Promote AI-based engineering practices & cloud best practices within the team

Mandatory Skills Description:

• 5+ years of backend development experience, ideally in financial services

• Experience with Loan IQ integration, APIs, and data models is essential

• Expertise in Java, Spring Boot, REST, and Kafka / MQ

• Experience in React, JavaScript/TypeScript, HTML5, and CSS

• Strong integration experience with core banking or lending platforms

• Experience with CI/CD tools (e.g., Jenkins, GitLab)

Cloud & Architecture:

• Hands-on experience with Microsoft Azure services

• Experience building serverless solutions using Azure Functions

• Strong understanding of cloud-native architecture and integration patterns (e.g., event-driven, microservices, API-led connectivity)

• Familiarity with messaging and integration services on Azure (e.g., Service Bus, Event Grid) is a plus

AI-Assisted Development:

• Hands-on experience with AI-assisted coding tools (e.g., GitLab Copilot, IDE-based copilots)

• Familiarity with using generative AI tools for code generation, unit test creation, debugging, and documentation

• Ability to apply AI tools responsibly to improve developer productivity and code quality while maintaining governance and standards

Nice-to-Have Skills Description:

DevOps & Tooling:

• Experience with CI/CD tools (e.g., GitLab, Jenkins)

Languages:

English: B2 Upper Intermediate

Processing Steps:

CV Review > TI > Client CV Review > CLI (2 Round)